Introduction and Objectives:Nutrition knowledge of an athlete, as well as practice, is expected to influence athlete’s performance. The study assessed the nutrition knowledge and practice as well as athletes’ performance and identified the factors predicting the athletes’ performance.Methodology:A cross-sectional survey, involved 110 purposively selected undergraduate athletes (47 females, 63 males) of University of Ibadan, Nigeria, between July 2013 and December 2013. A semi-structured, self-administered questionnaire assessed the nutrition knowledge and practice. 24-hr diet recall and food frequency questionnaire were done. Anthropometric measurements were taken; body composition was determined by bioelectrical impedance analysis method. Handgrip strength (HGS), as an indirect measure of athlete performance, was assessed with the hand dynamometer. Chi-square and t-test analysis were used for the bivariate analysis. Pearson correlation and simple linear regression were used to determine relationships and predict athletic performance. The level of statistical significance was p<0.05.Results:More than half (58.2%) had good nutrition knowledge (NK), and 62.7% had good nutrition practices (NP). Majority (75.4%) had normal handgrip strength (HGS). More than 70.0% frequently do not consume cereals, roots and tubers, fruits and vegetables, legumes/nuts. About 30.0-40.0% frequently do not consume eggs/milk, meat/fish. Having good NK was significantly associated with good NP (χ2 = 15.520, p=0.000), but not with athlete’s performance (HGS). There is no significant correlation between NK, NP, and HGS. There is a significant positive correlation between HGS and lean muscle mass (LMM) (r=.670, p=0.000), weight (r=.492, p=0.000), height (r=.521, p=0.000) and energy intake (r=.386, p=0.000). There is a significant negative correlation between HGS and percentage body fat (r=-.400, p=0.000). Athletes’ performance was significantly predicted by the resting metabolic rate (β= .454 C.I=0.011 to 0.045, p=0.003), Lean muscle mass (β =.297 C.I=.059 to 0.562, p=0.024) and the weight (β =.228, C.I=1.852 to .489, p=0.047).Conclusion:Having good nutrition knowledge or practice did not directly determine athletic performance. However, there is the need for nutrition education interventions, to improve athlete’s performance by promoting adequate energy intake, lean muscle mass and appropriate weight gain in athletes.

BackgroundQuality of life (QOL) is an important component in the evaluation of the well-being of people living with HIV and AIDS (PLWHA), especially with the appreciable rise in longevity of PLWHA. Moreover, limited studies have been conducted in Nigeria on how PLWHA perceive their life with the World Health Organisation Quality of Life Brief Scale (WHOQOL-Bref) instrument.ObjectiveThis study assessed the QOL of PLWHA attending the antiretroviral (ARV) clinics, UCH Ibadan, Nigeria.MethodA cross-sectional study was conducted from June to September 2008 that involved 150 randomly selected HIV-positive patients who were regular attendees at the antiretroviral clinic, UCH Ibadan. An interviewer administered questionnaire was used to collect information on sociodemographic data, satisfaction with perceived social support, medical records, and QOL was assessed with WHOQOL-Bref.ResultsThe mean age of the respondents was 38.1 ± 9.0 years and the male: female ratio was 1:2. The mean CD4 count was higher in female patients than in male patients, 407 cells/mm3: 329 cells/mm3 (p = 0.005). The mean QOL scores on the scale of (0–100) in three domains were similar: psychological health, 71.60 ± 18.40; physical health, 71.60 ± 13.90; and the environmental domain, 70.10 ± 12.00; with the lowest score in the social domain, 68.89 ± 16.70. Asymptomatic HIV-positive patients had significantly better mean QOL scores than symptomatic patients in the physical (74.04 ± 16.85 versus 64.47 ± 20.94, p = 0.005) and psychological domains (76.09 ± 12.93 versus 69.74 ± 15.79, p = 0.015). There was no significant difference in the mean QOL scores of men compared to those of women, in all domains assessed.ConclusionHigh QOL scores in the physical, psychological and environmental domains may be reflective of the effectiveness of some of the interventions PLWHA are exposed to at the ARV clinic, UCH Ibadan (on-going psychotherapy, free antiretroviral drugs). Relatively low social domain scores may suggest ineffective social support networks, because PLWHA are still exposed to stigmatisation and discrimination. An improvement in social support for PLWHA, therefore, will improve their quality of life further.

Background & Aims: The study investigated the relationship between objective and subjective nutritional status parameters and quality of life in HIV seropositive patients. Methods: Retrospective review of clinic records of 150 HIV seropositive patients at a teaching hospital in Nigeria. Nutritional status was evaluated objectively with anthropometry including body mass index (BMI), subjectively with malnutrition universal screening tool (MUST) and subjective global assessment (SGA) tool. Data on quality of life (QOL) assessed with WHOQOL (Bref), and CD4 count were extracted. Correlation analysis and linear regression were done to investigate the relationship between variables, level of significance set at p < 0.05. Results: Only BMI has weak positive correlation with the psychological domain (r = 0.231, p < 0.05). MUST and SGA have significant negative correlations with most of the quality of life domains. MUST correlated with the following domains: physical; (r = −0.207), psychological; (r = −0.193) and environmental; (r = −0.132). While SGA correlated with the physical domain; (r = −0.2470) and psychological domain; (r = −0.337), p < 0.05 respectively. The CD4 count correlated with percentage body fat (r = 0.224), MUST (r = −0.186) and SGA (r = −0.192), p < 0.05 respectively, but not with any of the QOL domains. Weight, MUST, SGA, percentage body fat were significant predictors of the percentage weight change in 6 months. Conclusions: BMI has significant positive association with psychological domain of QOL.MUST and SGA have significant negative association with certain domains. QOL did not predict short-term weight changes, as did the current weight, MUST, and SGA.

The management of diabetes mellitus (DM) targets glycemic control as well as prevention or reversal of other complications associated with the metabolic disorder. One of such complications is the infertility which has been traced to oxidative stress and DNA damage caused by DM. In this study, experimentally-induced diabetic male Wistar rats were fed with Xanthosoma sagittifolium (cocoyam) for 14 days and its effect on sperm morphology and characteristics, as well as histology of the testes were assessed. X. sagittifolium corm feed (Xs) were reconstituted with commercial rat feed to contain 25, 50, 75 or 100% X. sagittifolium on a weight/weight basis. One primary and 7 secondary cell abnormalities were observed with overall increased total abnormal sperm cells in the diabetic rats. Sperm cell motility was significantly (p<0.05) reduced in all diabetic rats, but diabetic rats fed with Xs showed increased motility and liveability. Sperm volume was unchanged, but the depressed sperm count in the untreated diabetic rats was increased in Xs-fed rats. Histology of Xs-fed diabetic rats showed reduction in seminiferous tubule diameter and luminal diameter which was significantly enlarged in untreated diabetic rats. X. sagittifolium significantly (p<0.05) prevented further deterioration of sperm cell quality and reversed cell apoptosis as presented by increased sperm motility, liveability and count. In the overall, the chances of fertilization by sperm cells from diabetic patients will be increased as well as achievement of good glycemic control and prevention of further damage by the disease condition.

Background: People living with HIV and AIDS (PLWHA) are assumed to have poor social support. This study compared the satisfaction with perceived social support of people living with HIV and AIDS with HIV negative patients. Method: 150 HIV positive patients were age and sex matched with 150 HIV negative patients in a cross sectional comparative study. Information on socio-demography and social support was assessed with questionnaire including multidimensional scale of perceived social support (MSPSS). Chi square test, student t-test, and linear regression analysis were done at p = 0.05 level of significance. Result: Mean age of the HIV positive versus HIV negative patients is 38.1 ± 9.0 years versus 37.7 ± 9.2 years. Both groups had the lowest social support scores from family, (FA): 3.81 ± 1.08 vs 3.95 ± 0.89, p = 0.240. Perceived support from friends (FR) was higher in the HIV negative group 7.41 ± 1.99 vs 5.55 ± 2.34, p = 0.000 as well as perceived total support (TS), 3.94 ± 0.68 vs 3.59 ± 0.77, p = 0.000. Linear regression for all the respondents revealed HIV status contributed the most and predicted TS and FR scores respectively (β = −0.181 95% C.I = −5.843 to −0.766, p = 0.010 and β = −0.317, 95% C.I, −4.260 to −1.792, p = 0.000). For PLWHA group, employment contributed most to perceived TS (β = −0.181 95% C.I −11.812 to −0.0361, p = 0.049). However, in HIV negative group, TS and FR had the greatest contribution from marital status, (β = −0.416 95% C.I −6.157 to −1.829, p = 0.000) and (β = −0.381 95% C.I −2.851 to −0.756, p = 0.001). Also, the current living status (β = −0.268, 95% C.I −3.238 to −0.360, p = 0.015, and β = −0.241 95% C.I −1.48 to −0.09, p = 0.027). Conclusion: All respondents had the poorest perception of support from family (FA). Lack of employment is the most important factor identified in this group of PLWHA, responsible for the poor TS. For the HIV negative group, not being married and living outside family setting were the strongest factors for poor social support.